Claude Opus 4.7 Released: Coding Power Surges, Anthropic Catches Up

On April 16th late night Beijing time, Anthropic officially launched Claude Opus 4.7.

Honestly, seeing this version number surprised me—the last Opus upgrade was just two months ago. Anthropic’s update rhythm is even more aggressive than OpenAI’s.

But what really interested me was this update’s focus: massive coding improvements.

As someone who works with AI programming tools daily, I spent two days deeply testing Claude Opus 4.7. My conclusion: Anthropic has genuinely caught up.

Core Upgrades: More Than Just Parameter Tuning

Claude Opus 4.7’s upgrades focus on three areas:

1. Coding Capability “Quantum Leap”

This is the centerpiece of this update. Anthropic officially claims Opus 4.7 improved 15% on SWE-bench, reaching 80.8%.

I tested it practically: asked it to refactor a 500-line TypeScript project, converting synchronous code to async. It didn’t just complete core logic modifications—it proactively handled error boundaries, added type hints, even explained in comments “why this approach.”

2. 3x HD Vision Capability

Opus 4.7 adds a “xhigh” tier supporting higher-resolution image understanding. I tested it: showed it a complex architecture diagram. It accurately identified each component’s name and connections.

3. Inference Speed Optimization

While Anthropic didn’t publish specific speed data, my perception: Opus 4.7 responds about 20% faster than 4.6.

Real-World Evaluation: Opus 4.7 vs GPT-5.4

To objectively evaluate Opus 4.7’s coding capability, I designed three test scenarios comparing it with GPT-5.4. Conclusion: both performed similarly; Opus 4.7’s architectural thinking has reached GPT-5.4’s level, even slightly better at multi-language conversion.

My Take: Anthropic’s “Catch-Up” Strategy Is Working

Over the past year, Anthropic’s strategy has been “following behind OpenAI, but safer, more controllable.” With Opus 4.7’s release, I see a different signal: Anthropic is no longer just catching up—it’s achieved “overtaking” in specific domains (coding).

The benefit: no need to be first in all dimensions. Just reach peak performance in what developers care about most—coding capability—and you win the market.

Closing Thoughts

Claude Opus 4.7’s release gave me new understanding of Anthropic’s technical roadmap. It proves one thing: In the vertical domain of AI coding, doing well beats doing everything.

For developers, we now have two “tier-one” choices: GPT-5.4 and Claude Opus 4.7. This competition ultimately benefits us users.

Website: claude.ai